{"id":"https://openalex.org/W2161367131","doi":"https://doi.org/10.1109/icpr.1994.576468","title":"Scale-invariant polyhedral object recognition using fragmentary edge segments","display_name":"Scale-invariant polyhedral object recognition using fragmentary edge segments","publication_year":2002,"publication_date":"2002-12-17","ids":{"openalex":"https://openalex.org/W2161367131","doi":"https://doi.org/10.1109/icpr.1994.576468","mag":"2161367131"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.1994.576468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.1994.576468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 12th International Conference on Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022183918","display_name":"Xiaoyi Jiang","orcid":"https://orcid.org/0000-0001-7678-9528"},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"X.Y. Jiang","raw_affiliation_strings":["Institute of Informatics und Applied Mathematics, University of Bern, Bern, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics und Applied Mathematics, University of Bern, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034624351","display_name":"Ueli Meier","orcid":null},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"U. Meier","raw_affiliation_strings":["Institute of Informatics und Applied Mathematics, University of Bern, Bern, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics und Applied Mathematics, University of Bern, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111680161","display_name":"Horst Bunke","orcid":null},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"H. Bunke","raw_affiliation_strings":["Institute of Informatics und Applied Mathematics, University of Bern, Bern, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics und Applied Mathematics, University of Bern, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022183918"],"corresponding_institution_ids":["https://openalex.org/I118564535"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23384062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"850","last_page":"853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6800989508628845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.621897280216217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6110925674438477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5999478101730347},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5927830934524536},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.551092267036438},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5424159169197083},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5054159164428711},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4400312006473541},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.414314866065979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4119471609592438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2816089391708374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24784770607948303}],"concepts":[{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6800989508628845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621897280216217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6110925674438477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5999478101730347},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5927830934524536},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.551092267036438},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5424159169197083},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5054159164428711},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4400312006473541},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.414314866065979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4119471609592438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2816089391708374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24784770607948303},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.1994.576468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.1994.576468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 12th International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1980252502","https://openalex.org/W2081207754"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2794488505","https://openalex.org/W4301594054","https://openalex.org/W3125889879","https://openalex.org/W3124422538","https://openalex.org/W2295467472","https://openalex.org/W3046451053","https://openalex.org/W2097909533","https://openalex.org/W3125188128","https://openalex.org/W2061719785"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,33,40,60,67],"scale-invariant":[3],"polyhedral":[4],"object":[5],"recognition":[6,73],"algorithm":[7],"that":[8,64],"is":[9],"based":[10],"on":[11,79],"the":[12,28],"pose":[13],"clustering":[14],"paradigm":[15],"using":[16],"fragmentary":[17],"edge":[18,37],"segments.":[19],"Two":[20],"novel":[21],"feature-focus":[22],"techniques":[23],"are":[24],"introduced":[25],"to":[26,49],"reduce":[27],"computational":[29],"complexity":[30],"for":[31],"matching":[32,54],"scene":[34],"with":[35,42],"n":[36],"fragments":[38],"and":[39],"model":[41],"m":[43],"edges":[44],"from":[45],"Q(m/sup":[46],"2/n/sup":[47],"2/)":[48],"O(mn)":[50],"without":[51],"loss":[52],"of":[53],"quality.":[55],"In":[56],"addition,":[57],"we":[58],"suggest":[59],"mixed":[61],"data":[62],"structure":[63],"requires":[65],"only":[66],"three-dimensional":[68],"accumulation":[69],"array.":[70],"The":[71],"proposed":[72],"method":[74],"has":[75],"been":[76],"successfully":[77],"tested":[78],"real":[80],"range":[81],"data.":[82]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}